MACHINE LEARNING BASED VIDEO COMPRESSION

(19)

(11)

EP 3 648 061 A3

(12)	EUROPEAN PATENT APPLICATION

(88)	Date of publication A3:
	17.06.2020 Bulletin 2020/25

(43)	Date of publication A2:
	06.05.2020 Bulletin 2020/19

(21)	Application number: 19197382.5

(22)	Date of filing: 13.09.2019

(51)

International Patent Classification (IPC):

G06T 9/00^(2006.01)

H04N 19/503^(2014.01)

(84)	Designated Contracting States:
	AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
	Designated Extension States:
	BA ME
	Designated Validation States:
	KH MA MD TN

(30)

Priority:

14.09.2018 US 201862731672 P
22.01.2019 US 201916254475

(71)	Applicant: Disney Enterprises, Inc.
	Burbank, CA 91521 (US)

(72)	Inventors:
	Mandt, Stephan Marcel Burbank, CA California 91521 (US) Schoers, Christopher Burbank, CA California 91521 (US) Han, Jun Burbank, CA California 91521 (US) Lombardo, Salvador D Burbank, CA California 91521 (US)

(74)	Representative: Avidity IP
	Broers Building Hauser Forum 21 JJ Thomson Avenue Cambridge CB3 0FA Cambridge CB3 0FA (GB)

(54)	MACHINE LEARNING BASED VIDEO COMPRESSION

(57) Systems and methods for compressing target content are disclosed. In one embodiment, a system may include non-transient electronic storage and one or more physical computer processors. The one or more physical computer processors may be configured by machine-readable instructions to obtain the target content comprising one or more frames, wherein a given frame comprises one or more features. The one or more physical computer processors may be configured by machine-readable instructions to obtain a conditioned network. The one or more physical computer processors may be configured by machine-readable instructions to generate decoded target content by applying the conditioned network to the target content.

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